daily-evolution

What problem does it solve?

AI agents cannot automatically extract operational patterns and validated best practices from daily collaborative interactions without manual effort, leading to stagnant performance and repeated inefficient operations over time.

Core Features & Use Cases

• 4-Stage Self-Evolution Loop: Automatically runs four core phases daily: conversation insight extraction, tool chain inventory, best practice固化, and evolution report generation to turn daily work into actionable improvements.
• Flexible Trigger Options: Supports both scheduled cron automatic execution and manual trigger via simple voice commands like "execute the潜龙计划" for on-demand evolution.
• Use Case: Suitable for any AI agent system that requires continuous self-iteration, such as coding assistants, customer service bots, and personal productivity agents, to improve collaboration efficiency and reduce repetitive operational errors.

Quick Start

Activate the daily-evolution skill to run the complete 4-stage daily self-evolution workflow for your AI agent, or trigger it manually by saying "execute the潜龙计划" whenever you need an on-demand evolution cycle.